Please use this identifier to cite or link to this item:
|Title:||Automatic Classification of Retinal Vessels Using Structural and Intensity Information|
Ana Maria Mendonça
|Abstract:||This paper presents an automatic approach for artery/vein (A/V) classification based on the analysis of a graph representing the structure of the retinal vasculature. The entire vascular tree is classified by deciding on the type of each intersection point (graph node) and assigning one of two classes to each vessel segment (graph link). The final label for each vessel segment is accomplished by a combination of structural information taken from the graph (link class) with intensity features measured in the original color image. An accuracy of 88.0% was achieved for the 40 images of the INSPIRE-AVR dataset, thus demonstrating that our method outperforms state-of-the-art approaches for A/V classification.|
|Appears in Collections:||Non INESC TEC publications - Indexed Articles in Conferences|
Files in This Item:
|1.14 MB||Adobe PDF||View/Open Request a copy|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.